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Every Truck, Fully Loaded. Axle-Legal. Damage Free.

Trusted by Industry Leaders in High-Volume Shipping
duracell
kimberly clark
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P&g
nestle
unilever
rivana
diageo
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Kimberly-Clark
LevelLoad
Shipment spikes were destroying carrier planning across Kimberly-Clark's entire North American network. EARL — co-built on LevelLoad — eliminated order bunching and saved millions annually in freight costs.
"
AI in supply chain management is not a future aspiration — it's a present reality.
Scott DeGroot · VP Global Logistics, Kimberly-Clark
0%
Variability reduction
BeforeAfter
0%
Shipments covered
0%
Recommendation acceptance
0 mo
Design to full deployment
The Challenge
Unpredictable order bunching from manufacturing plants created costly spikes in carrier demand. Transportation planning was constantly reactive — securing trucks last-minute at premium rates across the entire North American network.
What Changed
EARL analyzes daily shipment volume against committed lane capacity, submits placeholder orders to lock in carrier slots early, then redistributes loads across a flexible planning window — smoothing spikes without touching service levels or delivery dates.
Riviana Foods
AutoO2
America's largest rice processor was leaving money in every trailer. Mixed product weights meant trucks "weighed out" before filling — until AutoO2 solved it in four months.
"
The increase in weight per truck adds up in terms of cost savings.
Zachary Dale · Supply Chain Continuous Improvement Manager, Riviana Foods
0.0%
Avg. weight increase per truck
0%
Training time reduced
10k+
Annual shipments optimized
10%+
Freight cost reduction per lane
The Challenge
Riviana ships everything from lightweight rice cups to heavy 20-lb bags. The weight variation meant trailers hit legal weight limits before filling — every truck leaving Memphis was carrying less than it could. Training new loaders to handle the complexity took weeks.
What Changed
AutoO2 considers 300+ parameters per load — placing heavier products beneath lighter ones, respecting customer-specific stacking rules, and producing visual load diagrams workers follow immediately. Operators go from onboarding to productive in days, not weeks.
Global CPG Leader
AutoO2
Rising fuel, driver shortages, and poor utilization were inflating costs and emissions. AutoO2 pushed truck utilization to 98% — cutting both freight spend and carbon output simultaneously.
"
Achieved industry-leading truck utilization while simultaneously cutting costs and carbon — proving efficiency and sustainability are not in conflict.
ProvisionAi Case Study · 2025
0%
Truck utilization achieved
Before: 90–95%98%
4–8%
Transport cost reduction
4–8%
Carbon emissions cut
2039
Net-zero target supported
The Challenge
Trucks running at 90–95% utilization sound efficient — but at scale, that gap represents millions in unnecessary shipments and emissions. Rising fuel costs and a global driver shortage made the problem worse, threatening both the P&L and a hard 2030 emissions target.
What Changed
AutoO2 optimized hundreds of daily shipments — pushing utilization to 98%, reducing total truck count and miles driven. Every efficiency gain hit both the income statement and the sustainability roadmap. Fewer trucks. Fewer emissions. Same or better service.

How does it work?

AutoO2 is an AI-driven load-building solution designed to optimize truck utilization and reduce freight costs.

1
Data Gathering

AutoO2 gathers data from supply planning systems and details what needs to be replenished.

2
Load Optimization

It determines the best way to load items on the trucks, maximizing payload, while ensuring proper weight distribution. It creates load diagrams to guide loaders on how to make everything fit and arrive damage free.

3
STO Creation

It generates stock transfer orders in the ERP.

4
Picking & Loading Guidance

Lastly, it can guide the WMS on how to instruct pickers and loaders on how to execute flawlessly and with high productivity.

How AutoO2 Works
$160Msaved per year across clients
88ktruckloads eliminated
285ktons of CO₂ reduced

For each origin/destination pair and transportation mode, AutoO2 pulls everything it needs to build the perfect load — before a single box is touched.

  • Supply planning requirements from the planning system
  • Item master data (dimensions, weight, stackability) from the ERP
  • Truck and trailer equipment details

This data foundation is what separates AutoO2 from manual or rules-based load builders — every decision is grounded in real, current information.

Using shipment data alongside state regulations, AutoO2 calculates the optimal load for each vehicle — maximizing weight and cube capacity while keeping every load axle-legal and damage-free.

Unlike traditional load builders, AutoO2 validates that loads can actually be built safely in the real world. Pickers and loaders receive step-by-step instructions so execution matches the plan exactly.

Over years of optimizing shipments across multiple continents, AutoO2 has fine-tuned its 300+ constraint engine to handle edge cases other systems miss:

  • Selecting the right-sized container for each shipment
  • Prioritizing the most-needed product when equipment is short
  • Minimizing temperature-controlled vehicle use
  • Ensuring rush loads are filled efficiently without waste
  • Ingesting spreadsheet data when users work outside the planning system
Cost Reduction

Every load AutoO2 builds is a load that doesn't need a second truck. By maximizing payload on every shipment, clients consistently reduce freight spend by 5–10% per lane — with ROI typically achieved within 90 days of deployment.

Sustainability

Fewer trucks means fewer miles driven and less fuel burned. AutoO2 directly supports carbon reduction and ESG targets — proving that operational efficiency and environmental responsibility aren't in conflict.

AutoO2 connects via API to the systems you already run — no rip-and-replace required. Implementation typically takes 90 days, and we've done it in under 60.

Planning System ERP TMS WMS

Once live, logistics managers get real-time load recommendations and insights — so every decision is data-driven, not gut-driven. AutoO2 adapts dynamically as shipment data changes, recalculating plans on the fly without disrupting operations.

Any Loader. Perfect Load. Every Time.

High turnover. New loaders every few weeks. Complex mixed-SKU loads that take years to master.
AutoO2 eliminates the expertise dependency — giving every picker and loader exactly what they need to build a perfect load, regardless of experience. Less training time. Fewer mistakes. No reloads.

Warehouse Guidance How It Works
1
Data Gathering

AutoO2 gathers data from the WMS, its own database, or external systems — capturing everything needed to build an optimized load plan before a single item is picked.

2
Load Diagramming

AutoO2 generates visual, step-by-step load diagrams — guiding loaders on pick location, pallet placement, and orientation so every truck is packed correctly and damage-free.

3
Dynamic Optimization

As inventory and shipment data changes in real time, AutoO2 recalculates picking and load plans on the fly — adapting automatically to volume shifts and last-minute orders.

4
Guided Execution

Pickers and loaders receive instructions directly on RF devices — with 300+ configurable options supporting everything from advanced automation and sandwich pallets to floor loading, all without disrupting existing operations.

If you ship 5,000+ truckloads/year, planning volatility is driving cost, your OTIF is hurting, you have overtime, detention, and carrier rejection:

Eliminate Hidden Losses
in Your Supply Chain

For companies shipping 5,000+ truckloads/year. Our team will reach out within one business day.

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